Robot obstacle avoidance using bumper event

Kumar, Neerendra; Vamossy, Zoltan; Szabo-Resch, Zsolt Miklos

doi:10.1109/saci.2016.7507426

Cited by 8 publications

(9 citation statements)

References 14 publications

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“…In another development, a bumper event approach was employed to develop an algorithm for obstacle avoidance of Turtlebot in [80]. The approach however did not provide collision free navigation.…”

Section: And Avoid Collisions Between Vehicles By Maintaining a Givenmentioning

confidence: 99%

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ayawli

Chellali

Appiah

et al. 2018

Journal of Advanced Transportation

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Safe and smooth mobile robot navigation through cluttered environment from the initial position to goal with optimal path is required to achieve intelligent autonomous ground vehicles. There are countless research contributions from researchers aiming at finding solution to autonomous mobile robot path planning problems. This paper presents an overview of nature-inspired, conventional, and hybrid path planning strategies employed by researchers over the years for mobile robot path planning problem. The main strengths and challenges of path planning methods employed by researchers were identified and discussed. Future directions for path planning research is given. The results of this paper can significantly enhance how effective path planning methods could be employed and implemented to achieve real-time intelligent autonomous ground vehicles.

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Section: And Avoid Collisions Between Vehicles By Maintaining a Givenmentioning

confidence: 99%

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ayawli

Chellali

Appiah

et al. 2018

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…In case of industrial robots, an algorithm for condition monitoring using artificial intelligence is studied in [10]. An algorithm for obstacles avoidance in unknown environment using bumper events of the robot is proposed in [11]. However, the algorithm presented in [11] has the limitation that the robot may struck in the corners and may follow the same loop of the path again and again.…”

Section: Introductionmentioning

confidence: 99%

“…An algorithm for obstacles avoidance in unknown environment using bumper events of the robot is proposed in [11]. However, the algorithm presented in [11] has the limitation that the robot may struck in the corners and may follow the same loop of the path again and again. A fuzzy controller for obstacle avoidance in unknown environment is presented in [12].…”

Section: Introductionmentioning

confidence: 99%

Robot navigation in unknown environment with obstacle recognition using laser sensor

Kumar

Vamossy

2019

IJECE

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<p>Robot navigation in unknown and dynamic environments may result in aimless wandering, corner traps and repetitive path loops. To address these issues, this paper presents the solution by comparing the standard deviation of the distance ranges of the obstacles appeared in the robot navigation path. For the similar obstacles, The standard deviations of distance range vectors, obtained from the laser range finder sensor of the robot at similar pose, are very close to each other. Therefore, the measurements of odometer sensor are also combined with the standard deviation to recognize the location of the obstacles. A novel algorithm, with obstacle detection feature, is presented for robot navigation in unknown and dynamic environments. The algorithm checks the similarity of the distance range vectors of the obstacles in the path and uses this information in combination with the odometer measurements to identify the obstacles and their locations. The experimental work is carried out using Gazebo simulator.</p>

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“…The complexity of the object matching task rises for similar objects [6]. An algorithm for obstacles avoidance in unknown environment using bumper events of the robot is proposed in [7]. However, the algorithm presented in [7] has the limitation that the robot may struck in the corners and may follow the same loop of the path again and again.…”

Section: Introductionmentioning

confidence: 99%

“…An algorithm for obstacles avoidance in unknown environment using bumper events of the robot is proposed in [7]. However, the algorithm presented in [7] has the limitation that the robot may struck in the corners and may follow the same loop of the path again and again. A fuzzy controller for obstacle avoidance in unknown environment is presented in [8].…”

Section: Introductionmentioning

confidence: 99%

Obstacle recognition and avoidance during robot navigation in unknown environment

Kumar

Vamossy

2018

IJET

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In this paper, firstly, a model for robot navigation in unknown environment is presented as a Simulink model. This model is applicable for obstacles avoidance during the robot navigation. However, the first model is unable to recognize the re-occurrences of the obstacles during the navigation. Secondly, an advanced algorithm, based on the standard deviations of laser scan range vectors, is proposed and implemented for robot navigation. The standard deviations of the lasers scans, robot positions and the time of scans with similar standard deviations are used to obtain the obstacle recognition feature. In addition to the obstacle avoidance, the second algorithm recognizes the re-appearances of the obstacles in the navigation path. Further, the obstacle recognition feature is used to break the repetitive path loop in the robot navigation. The experimental work is carried out on the simulated Turtlebot robot model using the Gazebo simulator.

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Robot obstacle avoidance using bumper event

Cited by 8 publications

References 14 publications

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Robot navigation in unknown environment with obstacle recognition using laser sensor

Obstacle recognition and avoidance during robot navigation in unknown environment

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